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Bewertung und Feedback des Lernenden für Big Data Analysis with Scala and Spark von École Polytechnique Fédérale de Lausanne

2,548 Bewertungen

Über den Kurs

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. We'll cover Spark's programming model in detail, being careful to understand how and when it differs from familiar programming models, like shared-memory parallel collections or sequential Scala collections. Through hands-on examples in Spark and Scala, we'll learn when important issues related to distribution like latency and network communication should be considered and how they can be addressed effectively for improved performance. Learning Outcomes. By the end of this course you will be able to: - read data from persistent storage and load it into Apache Spark, - manipulate data with Spark and Scala, - express algorithms for data analysis in a functional style, - recognize how to avoid shuffles and recomputation in Spark, Recommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Parallel Programming:



7. Juni 2017

The sessions where clearly explained and focused. Some of the exercises contained slightly confusing hints and information, but I'm sure those mistakes will be ironed out in future iterations. Thanks!


28. Nov. 2019

Excellent overview of Spark, including exercises that solidify what you learn during the lectures. The development environment setup tutorials were also very helpful, as I had not yet worked with sbt.

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226 - 250 von 506 Bewertungen für Big Data Analysis with Scala and Spark

von Ravi S

6. Juli 2017

Course material is pretty good. Week 2 assignment is hard.

von Nikhil R

9. Nov. 2019

Helpful for anyoe who wants to start with basics of Spark

von Art P

10. März 2018

Thank you! Some additional examples would be appreciable.

von Evaldas M

8. Apr. 2017

great course, finally understand what spark is all about!


27. Mai 2020

Very good course to understand Apache Spark using scala.

von Charmy G

13. Jan. 2020

Loved it all!! Thanks for the good information on Spark.

von Ismail A I

9. Apr. 2017

A very interesting and useful course.

Highly Recommended!

von sheng w

10. Jan. 2019

Very useful course and great materials and assignments.

von Pushkin G

6. Mai 2018

Very useful lessons. Great way to get started on Spark.

von John D

13. Juli 2017

There is some little mistakes in course(like on slides)

von Fabian D A

28. Apr. 2020

Excellent material and challenging exercises, love it!

von Mohamed B

30. Juni 2020

Amazing course, thanks for the professor and Coursera


14. Aug. 2018

good implementation of programming knowledge recieved

von Oleg O

29. Juli 2017

Good course, but sometime there are too much details.

von Ravikumar

9. Apr. 2017

It is very good course material for Spark with scala.

von Dmitriy K

20. März 2017

Thanks Heather! You did a great job with this course.

von Robson R S P

12. Apr. 2020

If you are a spark beginner, this is a great course.

von Alexey A

13. Juli 2019

The most interesting course in whole specialization.

von 李东恒

24. Jan. 2020

Very good course for learning and practicing Spark.

von Yuri R

24. Okt. 2019

Liked the course. Wasn't familiar with spark before

von Cliff R

22. Juli 2018

Gives a good grounding in the fundamentals of Spark

von Kovalenko S

17. Juli 2017

Курс очень понравился, спасибо большое за ваш труд!

von Adrien C

29. Juni 2017

Interesting course, the last week feels most useful

von Juan L R A

19. Juni 2017

Very good course and good materials for learning

von Florian B

18. Nov. 2017

Super cours, merci beaucoup! EPFL always rocks.